Background

Yihyun Kwon

EEE @ University of Bristol

Bristol, United Kingdom | +447 387397155 | yhkwon0429@gmail.com

Work Experience

ADI Lab Intern

Heerim Architects & Planners

Aug 2024 - Sep 2024
  • Intern Researcher at Artificial Design Lab (ADI Lab), Research Institute
  • Conducted research on image generative AI, including models like Flux and Stable Diffusion, and explored their potential applications in architectural design.
  • Developed custom nodes in ComfyUI to integrate large language models (LLMs), such as ChatGPT and Ollama's Vision features, using Python APIs.
  • Developed additional UI features to integrate Ollama's Llava-Llama3 model and Google Translate with Fooocus using Python APIs, substantially enhancing usability and improving the image generation workflow within the company.
Python Visual Programming

Planning Team Intern

Mangoslab

Aug 2023 - Sep 2023
  • Worked as a planning team intern, preparing the CES 2024 Innovation Award application and developing a Kickstarter crowdfunding page for Nemonic, a sticky note printer and its cartridges, successfully raising over £200,000.
Figma Microsoft Word Microsoft Powerpoint

Side Projects

🎵

Audio Visualiser using Raspberry Pi and LED Matrix

Built a real-time audio visualizer that displays frequency spectrum on an LED matrix. Implemented FFT algorithm for audio processing and created custom animations for different frequency ranges using Python.

Get it Done! - To-do list app

An iOS productivity app designed to efficiently manage work time and enhance study habits. Featuring a stopwatch and to-do list, it prioritises intuitive navigation and usability to streamline your workflow and improve productivity.

About Me

Yihyun Kwon

I am an enthusiastic 3rd year Electrical and Electronic Engineering student at the University of Bristol, with a strong passion for both hardware and software development, particularly in the field of computer architecture. I'm proficient in programming languages such as Java and Python, and I'm currently exploring Python applications in electrical engineering, including visualising audio signals using FFT on an LED matrix and designing custom guitar pedals that combine circuit design with digital signal processing.

In my free time, I love working out and running, playing guitar, and getting on the pitch for a game of football.

Technical Skills

C
Python
Java
Swift
MATLAB
HTML
CSS
React